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Elasticsearch documents aren't searchable immediately due to the indexing process.

A document in Elasticsearch isn't searchable right after it's saved due to the refresh process.

Choose Elasticsearch for complex text searches, but use databases for structured queries.

Elasticsearch fuzzy search allows finding results even with typos in queries.

Optimizing Elasticsearch involves using filters, caching, and measuring performance.

Deep pagination in Elasticsearch can slow down searches significantly, but there are efficient methods to handle it.

Elasticsearch offers three main autocomplete strategies, each with unique benefits and trade-offs.

An inverted index helps search engines quickly find documents containing specific terms.

Search engines collect, index, retrieve, and rank documents to provide relevant results.

You can update Elasticsearch indices without downtime using alias switching.

Elasticsearch distributes search queries across shards to find and retrieve results quickly.

Elasticsearch uses distributed architecture to search data quickly across multiple servers.